Senior Product Manager, Enterprise Mobility AI / ML

Senior Product Manager, Enterprise Mobility AI / ML Are you passionate about transforming bleeding-edge technologies into services that will impact millions in our daily lives? At Mobile Platform Solutions (MPS), we are looking for passionate product managers to share their creative vision and to build applications and services for Samsung's array of devices spanning mobile, wearables, IoT, TVs, appliances, etc. This role is ideal for a product leader with a passion for creating intelligent and secure mobile experiences, particularly within the Android ecosystem, and who brings deep expertise in enterprise mobility, AI / ML framework and applications, and mobile security.

In this position, you will join a collaborative team of world-class designers, researchers, and engineers in the field of AI / ML, blockchain, IAM, computer vision, AR / VR / XR, IOT technologies, with emphasis on mobile B2B services, security and privacy, Enterprise AI, etc.

Come join the Samsung MPS team and be a leader in bringing futuristic services to life!

Position Summary

The Senior Product Manager will work closely with various internal organizations including business development, engineering and designers to define requirements and roadmaps. This is a great opportunity to lead one or more of our Knox enterprise mobility products. The ideal candidate will own the product lifecycle from ideation through launch, focusing on delivering value through innovative AI / ML features, robust security frameworks, and scalable enterprise solutions that meet the needs of modern mobile-first workforces.

Position Responsibilities

Lead product strategy and roadmap for Samsung Knox Enterprise mobile solutions that leverage AI / ML to enhance productivity, automation, and user experience

Drive cross-functional collaboration with engineering, UX, data science, security, marketing, and sales teams to ensure timely and high-quality product delivery

Define clear requirements and user stories with a strong focus on enterprise user personas, security, performance, and compliance

Partner closely with data scientists and AI / ML teams to define and implement intelligent features such as context-aware automation, predictive analytics, anomaly detection, and on-device machine learning models

Work with industry leading ecosystem partners including OS Platforms, Network & Carriers, ISVs and System Integrators to identify & validate opportunities for Samsung to innovate and increase market share

Deeply understand the Android ecosystem, including device management frameworks (e.g., Android Enterprise), security APIs, OS-level capabilities, and OEM integrations

Analyze market trends, customer needs, and competitive landscape to identify opportunities

Collaborate with engineering, sales, and marketing teams to ensure robust GTM plans and successful product launches

Engage with key enterprise customers to gather feedback and validate product direction

Serve as a thought leader both internally and externally in enterprise mobility and AI / ML-driven mobile applications

Required Skills

Engineering degree in EE, CS, or similar (Masters or MBA preferred) or equivalent combination of education, training, and experience

7+ years of product management experience in enterprise mobility or related fields

Proven track record of delivering AI / ML-enabled features in mobile apps or devices, ideally within enterprise environments

Deep understanding of enterprise mobility ecosystems, including MDM / UEM solutions, EMM policies, and corporate device deployment strategies

Familiarity with Android platform and tools, including AOSP, Android Enterprise APIs, security features, and device provisioning is desired

Familiarity with cloud platforms (e.g., GCP, AWS, Azure) and on-device AI technologies (e.g., TensorFlow Lite, Core ML, Android ML Kit) is desired

Solid grasp of mobile security concepts, such as encryption, authentication, secure containers, zero-trust architectures, and endpoint threat detection

Experience collaborating with AI / ML engineering teams and understanding model lifecycle management (training, deployment, performance monitoring)

Experience working with cross-functional teams in a fast-paced environment

Excellent communication, presentation, and stakeholder management skills

Ability to build an excellent user experience and lead / present small group and / or executive level discussions

Able to travel internationally ( Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Base Pay Range

$179,200 - $246,150 USD

Additional Information

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

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For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link : Pay Transparency

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